Using the market's purchasing and consumption patterns, combined with the main variables that impact the industry, we have built a forecasting tool with an assertiveness rate of over 90%.
The food industry, in general, suffers from two major factors when it comes to demand: volume and price. One is directly linked to the other and influences the entire production chain. Therefore, assertive forecasting is essential! Avoiding stock-outs, overstocking and FEFO.
We have developed multivariate Machine Learning models that learn the main market patterns and anticipate movements.
gains in chain optimization
and demand management
It avoids stock-outs by accurately predicting future demand, guaranteeing a continuous supply.
Reduces overstocking by aligning production and stock with expected demand, minimizing storage costs.
It adjusts prices strategically, anticipating competitive movements and market variables.
Precise projections for 3, 4 and 5 months, providing more security in financial and operational planning.
In-depth understanding of market elasticity and competition, enabling effective volume and price adjustments.
Integration of relevant external data, such as seasonality and economic changes, for more assertive decisions.